The Untold Story of Training Students with Generative AI: Are We Preparing Students for True Learning or Just Personalization?

Authors

DOI:

https://doi.org/10.24059/olj.v28i3.4689

Keywords:

generative AI, AI in education (AIEd), personalized learning, collaborative learning, scaffolding

Abstract

This special issue joins the recent but growing effort to expand understanding of integrating generative AI. While generative AI tools like ChatGPT offer great opportunities for personalized learning, it is important to think critically about what type of learning we are reinforcing through the convenience and customization offered by AI. The reliance on AI for scaffolding and personalized prompts can risk undermining students' independent thinking and problem-solving abilities. Additionally, the emphasis on personalized learning could deter the development of collaboration skills. As we continue to integrate AI into educational practices, we need to work towards balancing the benefits of personalization with the goal of fostering self-reliant, critical thinkers who can collaborate and evaluate AI-generated content.

Author Biographies

Haesol Bae, University at Albany

Haesol Bae is an assistant professor in the Department of Educational Theory and Practice. She joined the University at Albany faculty in 2023. Dr. Bae focuses on how students learn by engaging in solving complex problems and how technology can support this learning process. Specifically, Dr. Bae is interested in how teachers can play a central role in supporting students while utilizing emerging educational technology, such as AI.

Aras Bozkurt, Anadolu University

Aras Bozkurt is a researcher and faculty member at Anadolu University, Türkiye. With MA and PhD degrees in distance education, Dr. Bozkurt's work focuses on empirical studies in areas such as distance education, online learning, networked learning, and educational technology. He applies critical theories like connectivism, rhizomatic learning, and heutagogy to his research. Dr. Bozkurt is also interested in emerging research paradigms, including social network analysis, sentiment analysis, and data mining. Dr. Bozkurt's studies also cover the integration of artificial intelligence technologies into educational processes in the axis of human-machine interaction.

His dedication to advancing the field is reflected in his editorial roles as the Editor-in-Chief of Open Praxis and Asian Journal of Distance Education, as well as his roles as an associate editor for prestigious journals like Higher Education Research and Development, Online Learning, eLearn Magazine, and Computer Applications in Engineering Education.

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Additional Files

Published

2024-09-01

How to Cite

Bae, H., & Bozkurt, A. (2024). The Untold Story of Training Students with Generative AI: Are We Preparing Students for True Learning or Just Personalization?. Online Learning, 28(3). https://doi.org/10.24059/olj.v28i3.4689

Issue

Vol. 28 No. 3 (2024): Online Learning

Section

Online and Blended Learning in the Age of Generative AI

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